Financial Crime & AML Compliance Expert

Micro1; India; A distancia; INR 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Cashback24x7 is seeking a Financial Crime & AML Compliance Expert (Contractor) to design and optimize advanced detection frameworks for financial crime. You will create scenario libraries, red flags, and escalation models to train and evaluate AI systems, drawing on 5+ years of hands-on experience in fraud, AML, and payments risk management.

The role emphasizes actionable, domain-focused input with strong communication skills to translate findings for technical and non-technical audiences.

Formación

• 5+ years of hands-on fraud investigations, AML compliance, or related financial crime roles.
• Experience with fintech, banking, crypto or digital payments.
• Credible track record in financial crime prevention and operational excellence.
• Advanced degree or professional certifications (CAMS, CFE, CFCS).
• Excellent written and verbal communication skills.
• Experience building training materials or detection rulebooks is a plus.

Responsabilidades

• Design a library of fraud, scam, money laundering, and abuse scenarios for financial platforms.
• Define red flags and typologies for social-engineering and fraud.
• Create escalation grading and risk assessment frameworks.
• Develop benchmarks to evaluate AI model detection of fraud patterns.
• Review and improve AML operations guidance and workflows.
• Provide detailed feedback on deliverables and ensure domain accuracy.
• Collaborate with cross-functional teams to translate insights into strategies.

Conocimientos

Fraud investigations

AML compliance

Payments risk management

Financial crime domain knowledge

Excellent communicator

Educación

Advanced degree or professional certification (CAMS/CFE/CFCS)

Descripción del empleo

Job Description

Role Title: Financial Crime & AML Compliance Expert

Role Type: Contractor

Location: Remote

micro1 is engaging Financial Crime & AML Compliance Experts to contribute to a customer's project focused on the design and optimization of advanced financial-crime detection frameworks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Design and document a comprehensive library of fraud, scam, money laundering, and abuse scenarios for financial platforms.
• Identify and define social-engineering red flags and typologies relevant to modern financial crime, including phishing, synthetic identity fraud, and marketplace abuse.
• Create escalation grading scales and frameworks to assess severity and risk of various financial crime events.
• Develop benchmark criteria and detection frameworks to evaluate AI model capability to recognize realistic fraud patterns and suspicious activity.
• Review and enhance written guidance, workflows, and best practices for financial crime and AML compliance operations.
• Provide detailed feedback on project deliverables, ensuring domain accuracy and practical relevance.
• Collaborate with cross-functional teams to translate your insights into actionable detection and prevention strategies.

Preferred Qualifications

• 5+ years of recent, hands-on experience in fraud investigations, AML compliance, payments risk management, or related financial crime domains.
• Expertise in detecting and analyzing scams, phishing, money laundering, synthetic identity fraud, and marketplace abuse in fintech, banking, crypto, or digital payment environments.
• High credibility in financial crime prevention, supported by a track record of operational excellence and thought leadership.
• Advanced degree, professional certification (such as CAMS, CFE, CFCS), or equivalent operational credentials in financial crime, AML/CTF, or compliance.
• Exceptional written and verbal communication skills, able to articulate complex scenarios and frameworks clearly for both technical and non-technical audiences.
• Experience building training materials, scenario libraries, or detection rulebooks is a strong plus.
• Curiosity and analytical rigor to assess evolving financial crime typologies and adapt controls accordingly.